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CD200 and Chronic

Lymphocytic Leukemia: Biological

and Clinical Relevance

Giovanni D

’Arena

1

*

, Vincenzo De Feo

2

, Giuseppe Pietrantuono

3

, Elisa Seneca

3

,

Giovanna Mansueto

3

, Oreste Villani

3

, Francesco La Rocca

4

, Fiorella D

’Auria

5

,

Teodora Statuto

5

, Luciana Valvano

5

, Francesca Arruga

6

, Silvia Deaglio

6

,

Dimitar G. Efremov

7

, Alessandro Sgambato

8

and Luca Laurenti

9

1Hematology,“S. Luca” Hospital, ASL Salerno, Vallo della Lucania, Italy,2Department of Pharmaceutical and Biomedical Sciences, University of Salerno, Salerno, Italy,3Hematology and Stem Cell Transplantation Unit, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy,4Laboratory of Preclinical and Translational Diagnostics, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy,5Laboratory of Clinical Research and Advanced Diagnostics, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy,6Cancer Immunogenetics Unit, Department of Medical Sciences, Molecular Biotechnology Center, University of Turin, Turin, Italy,7Molecular Hematology, International Centre for Genetic Engineering and Biotechnology, Trieste, Italy,8Scientific Direction, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy,9Hematology Institute, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy

CD200, a transmembrane type Ia glycoprotein belonging to the immunoglobulin protein

superfamily, is broadly expressed on a wide variety of cell types, such as B lymphocytes, a

subset of T lymphocytes, dendritic cells, endothelial and neuronal cells. It delivers

immunosuppressive signals through its receptor CD200R, which is expressed on

monocytes/myeloid cells and T lymphocytes. Moreover, interaction of CD200 with

CD200R has also been reported to play a role in the regulation of tumor immunity.

Overexpression of CD200 has been reported in chronic lymphocytic leukemia (CLL) and

hairy cell leukemia but not in mantle cell lymphoma, thus helping to better discriminate

between these different B cell malignancies with different prognosis. In this review, we focus

on the role of CD200 expression in the differential diagnosis of mature B-cell neoplasms and

on the prognostic signi

ficance of CD200 expression in CLL, where conflicting results have

been published so far. Of interest, increasing evidences indicate that anti-CD200 treatment

might be therapeutically bene

ficial for treating CD200-expressing malignancies, such as CLL.

Keywords: CD200, chronic lymphocytic leukemia, prognosis, diagnosis,flow cytometry

INTRODUCTION

Mature B-cell leukemias are heterogeneous in clinical and biological features. Despite the large body

of studies published, dif

ficulties to get a firm diagnosis still exist in some cases due to the lack of

disease-speci

fic markers and overlapping immunophenotypes. CD200 has recently emerged as a

useful tool to better discriminate among several chronic leukemias. In addition to the usefulness of

this marker in the diagnostic setting, it also has a prognostic role and may represent a potential

therapeutic target in chronic lymphocytic leukemia (CLL).

Frontiers in Oncology | www.frontiersin.org 1 November 2020 | Volume 10 | Article 584427

Edited by: Je´ roˆme Paggetti, Luxembourg Institute of Health, Luxembourg Reviewed by: Jorge Castillo, Dana–Farber Cancer Institute, United States Michael Mian, Ospedale di Bolzano, Italy *Correspondence: Giovanni D’Arena giovannidarena@libero.it

Specialty section: This article was submitted to Hematologic Malignancies, a section of the journal Frontiers in Oncology Received: 17 July 2020 Accepted: 27 October 2020 Published: 26 November 2020 Citation: D’Arena G, De Feo V, Pietrantuono G, Seneca E, Mansueto G, Villani O, La Rocca F, D’Auria F, Statuto T, Valvano L, Arruga F, Deaglio S, Efremov DG, Sgambato A and Laurenti L (2020) CD200 and Chronic Lymphocytic Leukemia: Biological and Clinical Relevance. Front. Oncol. 10:584427. doi: 10.3389/fonc.2020.584427

REVIEW published: 26 November 2020 doi: 10.3389/fonc.2020.584427

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In this review, we provide a summary of published data on the

biological and clinical relevance of CD200 in CLL, identified

through a literature search of the MEDLINE, Google Scholar,

and Scopus databases, aiming at providing an update of the

published literature on this topic. The search comprised the

terms

“CD200”, “chronic lymphocytic leukemia”, and “chronic B

cell leukemias

” without a date restriction. All articles and

Meeting Abstracts we found were evaluated and included in

this review.

CD200 ANTIGEN AND CD200 RECEPTOR

The surface membrane glycoprotein CD200, formerly termed

OX-2, is encoded by the 29,744 bp long CD200 (OX-2) gene

located on the long arm of chromosome 3 (3q13.2) (

1

).Three

transcript variants of CD200 are known: variant 1, 2,226 bp long,

containing 7 exons and encoding the 269 amino acids long

isoform a; variant 2, 2,301 bp long, containing 7 exons and

encoding the 294 amino acids long isoform b; and variant 3,

2,085 bp long, missing an exon and encoding the 153 amino

acids long isoform c (

2

).

The CD200 glycoprotein is a single-pass, type I, highly

conserved membrane protein, belonging to the immunoglobulin

superfamily, spanning the membrane once, with the N-terminus

on the extracellular side of the membrane (

2

). It is composed of two

extracellular (one variable and one constant) immunoglobulin-like

domains, a single transmembrane region, and a cytoplasmic tail

(

Figure 1

) (

3

).

The receptor for CD200 (CD200R) also has two

immunoglobulin-like domain. The phylogenetic analysis

demonstrated that the receptor is closely related to CD200 and

probably evolved by a gene duplication (

2

). As a matter of the fact,

the genes for human CD200 and CD200R are closely linked on

chromosome 3 (

4

). However, the CD200R has a longer

cytoplasmic tail with signaling motifs different from CD200 (

5

).

CD200 is normally expressed on a variety of cell types,

including thymocytes, B lymphocytes, a subset of T

lymphocytes, neurons, endothelial cells, some dendritic cells,

kidney glomeruli, and syncytiothrophoblasts (

6

). The expression

of CD200R is more restricted and includes myeloid leucocytes,

such as macrophages, dendritic cells, and mast-cells, as well as B

lymphocytes and a subset of T lymphocytes (

7

,

8

).

FUNCTION OF CD200 AND ITS ROLE

IN CANCER

CD200, by means of the interaction with its receptor, induces the

suppression of T-cell mediated responses, limiting in

flammation

in a wide range of in

flammatory diseases (

Table 1

). The

inhibition of macrophage function, induction of regulatory

T-helper cell type (Th1) to Th2 cytokine profile switch, suppression

of natural killer cell function, and inhibition of tumor-specific

T-cell immunity have been all experimentally demonstrated (

9

14

,

15

18

). Consistent with its immunosuppressive role,

CD200-deficient mice are susceptible to tissue-specific autoimmunity

(

15

). Gorczynski and co-workers demonstrated that the

interaction of CD200 with CD200R is able to decrease the

production of Th1-like cytokines, such as interleukin (IL)-2 and

interferon (IF)-g, and increase the release of Th2-like cytokines,

such as IL-10 and IL-4 (

16

). In addition, the same group reported

that the CD200/CD200R interaction induces the in vitro

differentiation of T lymphocytes toward CD4

+

CD25

+

Foxp3

+

regulatory T-cells (Tregs) (

16

).

Moreaux et al demonstrated that CD200 mRNA is

overexpressed on cells of several types of cancers compared to

their normal counterparts, including chronic lymphocytic

leukemia (CLL) (

19

). Kretz-Rommel et al elaborated a tumor

model on the basis of the previous demonstration that CD200 is

up-regulated in CLL and that the up-regulation in multiple

myeloma (MM) and acute myeloid leukemia (AML) correlates

with adverse prognosis (

20

22

). These authors

firstly

demonstrated that human peripheral blood mononuclear cells

(hPBMCs) and Namalwa tumor cells (Burkitt

’s lymphoma cell

line lacking CD200 expression) simultaneously injected in

FIGURE 1 | Schematic representation of CD200. The CD200 glycoprotein has two extracellular like Immunoglobulin domains formed by disulfide bonds, one variable (V) and one constant (C), a single transmembrane region, and a cytoplasmic tail.

TABLE 1 | CD200:CD200R interaction and negative control of immunity.

KEY FACTS

Reduced Th1 cytokine (IL-2, IFNg) production (9) Increased IL-10 and IL-4 production (9) Induction of Tregs (10)

Inhibition of mast cell degranulation (11,12) Downregulation of basophilic function (13) Suppression of natural killer cell function (14)

CD200R, receptor of CD200 antigen; Th, T helper; IL, interleukin; IFN, interferon; Tregs, regulatory T-cells.

D’Arena et al. CD200 and CLL

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NOD/SCID mice show reduced tumor growth with respect to

that observed in mice in the absence of hPBMCs (

23

,

24

). When

the Namalwa tumor cells were engineered to express human

CD200 on their surface and simultaneously injected with

hPBMCs, CD200 expressed on tumor cells prevented hPBMCs

from eradicating the cancer cells. This tumor model clearly

demonstrated the immunosuppressive activity of CD200.

Moreover, treatment with anti-CD200 monoclonal antibodies

(Abs) was also highly effective in this model and inhibited the

growth of Namalwa CD200 tumor cells in NOD/SCID hu-mice

by >90%. The same study showed that CD200 is a marker of

activated T cells and that the use of IgG1 anti-CD200 (a constant

region variant that can mediate ADCC) resulted in ef

ficient

target cell killing of these lymphocytes by ADCC. Taken

together, these data have relevant implications for the

immunotherapy of cancer patients with anti-CD200.

RELEVANCE OF CD200 IN DIAGNOSIS OF

CHRONIC LYMPHOPROLIFERATIVE

DISORDERS

The neoplasms of mature B cells are heterogeneous diseases

currently included in the

“mature B-cell lymphoid neoplasms” of

the WHO classification (

25

,

26

). Immunophenotypic profile,

cytogenetics, and molecular biology must be all taken into

account as a multidisciplinary integrated approach to

differentiate the disease entities belonging to this category.

However, difficulties in defining some cases still exist.

Diagnostic accuracy is crucial in diagnosing neoplasms that

require different speci

fic treatments.

Flow cytometric characterization of chronic lymphoproliferative

disorders represents a cornerstone in the diagnostic approach to

neoplasms of mature lymphocytes (

27

). In the early 90s, a British

group in London proposed a scoring system (Matutes score),

which was based on analysis of 5 membrane markers: CD5,

CD22, CD23, FMC7, and surface immunoglobulin (SmIg) (

28

).

A score of 1 was assigned for each of the following

immunophenotypic features: CD5 positive, CD22 weak or

negative, CD23 positive, FMC7 negative, SmIg weak. The total

score, according to this scoring system, is usually 4 or 5 for

typical CLL cases, and 3 or less for other mature B-cell lymphoid

neoplasms (

28

). A few years later, the same group improved the

diagnostic accuracy of the score (from 91.8% to 96.8%) simply

replacing CD22 with CD79b (

29

).

The Matutes score is used worldwide as a diagnostic tool.

However, some cases of chronic lymphoid neoplasms are still

misdiagnosed, including some cases belonging to a more

aggressive entity, such as mantle cell lymphoma (MCL). In this

context, CD200 has been shown to have differential expression

in B-cell neoplasms and to well discriminate CLL from MCL and

hairy cell leukemia (HCL) and its variant form (v-HCL)

(

Figure 2

) (

30

32

).

The reports on the relevance of CD200 expression to

differentiate B cell chronic lymphoid neoplasms that have been

published so far are listed in

Table 2

. Firstly, Palumbo et al in

2009 demonstrated that CLL can be differentiated from MCL

according to the expression of CD200 (all patients with CLL

expressed CD200, whereas all patients with MCL were negative)

(

31

). At the same time Brunetti et al, analyzing only patients with

HCL, showed that all patients with typical HCL expressed

CD200 (

30

). Shortly after, Dorfman & Shahsafaei studied by

means of

flow cytometry bone marrow and lymph node aspirates

from patients with different mature B cell lymphoid neoplasms,

showing that CLL and HCL cases were all CD200 positive,

prolymphocytic leukemia (PLL) were positive in 80% of cases,

while MCL, splenic marginal zone lymphoma (SMZL), and

follicular lymphoma (FL) were all negative (

32

). Since then,

several other researchers analyzed samples from patients with

mature B-cell lymphoid neoplasms (

33

63

). Overall, the

published data con

firmed the positivity in all patients with

FIGURE 2 | CD200 expression in CLL and MCL. Dot plots showing a case of CLL in which both surface CD200 and CD23 were expressed (left panel) and a case of MCL in which both antigens were found negative (right panel). B-cells only have been gated for the analysis.

D’Arena et al. CD200 and CLL

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TABLE 2 | CD200 expression and differential diagnosis in chronic B-cell leukemias: published data at a glance.

Reference No.

Patients

Samples evaluated CLL MCL HCL HCL-v MZL FL LPL Other B-cell neoplasms

Palumbo et al. (31) 91 PB 79/79 (100%) 0/14 (0%) – – – – – – Brunetti et al. (30) 10 PB; BM – – 10/10 (100%) – – – – – Dorfman and Shahsafaei (32) 73 BM, LN# 21/21 (100%) 0/10 (0%) 12/12 (100%) – 0/10 (0%) 0/16 (0%) 8/10 (80%)

MALT: 0/4 (0%); B lymphoblastic leukemia/ lymphoma: 10/10 (100%); DLBCL: 0/12 (0%); mediastinal large B-cell lymphoma: 8/ 8 (100%); BL: 0/8 (0%); MM: 10/13 (77%); HL: 12/13 (92%); nodular lymphocyte predominant HL: 0/14 (0%)

Bhatnagar et al. (33) 100 PB; BM 78/78 (100%) 0/7 (0%) – – – – – –

El Desoukey et al. (34) 49 PB 31/31 (100%) 0/4 (0%) 2/2 (100%) – 0/4 (0%) 0/8 (0%) – –

Cherian et al. (35) 66 Not reported – – – – – – – Not reported data as percentage

expression of CD200 in 51 cases of CLL/ SLL and 15 cases of MCL. Most cases studied can be separated using a cut off of 1.10 for the CD200 MFI ratio

Kern et al. (36) 100 PB, BM 58/59

(98,3%)

2/14 (14,3%) – – – – – CLL/PL cases: 26/27 (96.3%)

Alapat et al. (37) 107 PB; BM; LN; body fluids

19/19 (100%) 0/4 (0%) – – – – 3/7

(43%)

B-ALL: 19/20 (95%); T-ALL: 0/5 (0%); MM: 37/52 (71%)

Pillai et al. (38) 180 BM, PB, LN; body fluids and other tissues

– – 23/23 (100%) 1/1 0(10%) – – – Not specified the number of positive/

negative cases but only reported MFI (with range) for each disease category. CLL/SLL showed CD200 with MFI of 5,965 compared with MCL and FL which had MFIs of 397 and 521, respectively. Dasgupta et al. (39) 56 Not reported 28/28 (100%) 2/10

(20 %)

3/3 (100%) – – – – 4/8 (50%) not otherwise specified

El-Sewefy et al. (40) 40 Not reported 30/30 (100%) 1/10 (10%) – – – – –

Sandes et al. (41) 159 PB; BM; LN; CSF 56/56 (100%)** 0/14 (0%) 13/13 (100%) – 6/6 (100%) 8/11 (73%) 2/4 (50%) PL: 2/7 (28%) SRPBL: 1/1 (100%) CD5-CD10- unclassifiable NHL: 21/31 (68%) CD5+ NHL*** 9/23 (39%) Challagundla et al. (42) 364 PB; BM; FNA; LN 119/119 (100%) 58/61

(95%)* 7/7 (100%) – 9/26 (35%)° °° 3/3 (100%)°° Karban et al. (43) 200 PB 200/20 (100%) 4/46 (8,7%) – – – – – – (Continued) D’Arena et al. CD200 and CLL Frontiers in Oncology | www.frontiersin.org November 2020 | Volume 10 | Article 584427 4

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TABLE 2 | Continued

Reference No.

Patients

Samples evaluated CLL MCL HCL HCL-v MZL FL LPL Other B-cell neoplasms

Sorigue et al. (44) 248 PB; BM; LN; CE 106/106 (100%) – – – – – – MBL-CLL like: 106/106 (100%); DLBCL: 7/

32 (22%) of which 4/11 (36%) ABC; 3/20 (15%) GCB; 0/1 (0%) cell of origin not determined; 1/4 (25%) BL. Lesesve et al. (45) 124 PB; BM 57/69 (83%) 0/10 (0%) 2/4 (50%) – 1/16 (6%) 0/7 (0%) – MBL-CLL like: 8(13(61%); MBL-non-CLL like 1/3(33%); PL: 0/2 (0%) Fan et al. (46) 374 PB; BM 268/271 (99 %)

1/31 (35%) 3/3 (100%) – 75% strong – – PL: 5/7 (%) weakly, 2/7 (%) strong Naseem et al. (47) 77 Not reported 54/54 (100%) 1/6 (16%) 5/5 (100%) – – 1/2 (50%) – Other CLPD did not express CD200

Rahman et al. (48) 3 Not reported – – – 3/3 (100%) – – – –

Rahman et al. (49) 160 PB; BM; FNA, ascitesfluid 98/98 (100%) 0/24 (0%) 6/6 (100%) 0/1 (0%) 3/6 (50%) 2/4 (50%) 2/4 (50%) DLBCL: 3/5 (60%); BL: 0/1 (0%); PBL: 0/1 (0%); CD5-CD10- undefined lymphomas: 4/10 (40%)

Ting et al. (50) 97 PB; BM; LN; pleural fluid

56/56 (100%)§

0/6 (0%) 2/2 (100%) – – – – 40 pts of which 22 diagnosed with

lymphomas with subtype (not reported in the paper), and 18 unclassified (of which 10 diagnosed with lymphoma without subtype, and 8 non-CLL MBL) Arlindo et al. (51) 124 PB; BM 61.1 (41.4/89.2) 3.5 (2.1/4.1) 220.3 (163.1/297.5) 36.1 (22.1/50.1) 8.3 (4.5/13.2) 2.6 (1.8/11.4) Atypical CLL: 113.7 (70.4/122.2) Mason et al. (52) 79 PB;BM;LN – – 34/34 (100%) 0/3 (0%) 1/22 (5%) – 13/20 (65%) Starostka et al. (53) 188 PB; BM; LN; pleural

fluid 158/161 (98.3%) 7.9% – – 63.6% – – Miao et al. (54) 653 PB; BM 355/365 (97%) 12/41 (29%) 1/1 (100%) 2/2 (66.7%) 8/20 (40%) 13/17 (76.5%) 30/35 (85.7%) MALToma: 4/4 (100%); CD5+ and CD5-unclassified B-cell chronic

lymphoproliferative disorders: 119/153 (78%) Poongodi et al. (55) 77 PB; BM 54/54 (100%) 1/6 (16,7%) 5/5 (100%) – 2/2 (100%) 1/2 (50%) – DLBCL: 1/3 (33.3%); unclassifiable lymphoma: 2/3 (66.7%); SLL: 1/1 (100%) Favre et al. (56) 96 PB 84/84 (100%) 1/30 (3%) 7/7 (100%) – 13/14 (93%) – – SRPBL: 6/15 (40%) Falay et al. (57) 339 PB; BM 295/306ç (95.8%) 2/33 (6.1% dimly) – – – – – D’Arena et al. (58) 427 PB; BM 312/322 (97%) 4/21 (19%) 15/15 (100%) – 27/53 (51%) 3/12 (25%) 0/4 (0%)

Debord et al. (59) 135 PB, BM – 3/63 (5%) – – – – – 68/72 (94%) low grade B-cell lymphoma

not otherwise specified

Mora et al. (60) 120 PB 64/64 (100%) 1/5 (20%) – – 13/19 (68.4%) 2/2 (100%) – MBL: 14/14 (100%); SLL: 3/3 (100%); other B-CLPD (not otherwise specified): 9/ 13 (69.2%)^

Myles et al. (61) 307 PB; BM; LNH, other bodyfluid or tissue

231/241 (96%) 62/66 (94%) – – – – – (Continued) D’Arena et al. CD200 and CLL Frontiers in Oncology | www.frontiersin.org November 2020 | Volume 10 | Article 584427 5

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CLL and HCL and the negativity in almost all patients with MCL

(

Table 2

).

Focusing on the assessment of

fluorescence intensity of

CD200, Lesesve et al used the ratio of mean

fluorescence

intensity (MFI) of CD160/CD200 on leukemic cells/controls

(

45

). CD160 is a glycosylphosphatidylinositol-anchored cell

surface molecule belonging to the immunoglobulin superfamily

that was found to be expressed in patients with CLL (

64

,

65

).

Only 60% of patients showed surface positivity for CD160. Both

markers were positive in 55% of CLL but only in 2% of other

B-cell neoplasms, and absence of both markers occurred in 12% of

CLL and in 86% of other B-cell neoplasms.

Taken together, these data showed that CD200 has a high

sensitivity for CLL diagnosis, being expressed in most of the CLL

cases. However, it is expressed also in other B-cell malignancies,

including MZL, HCL, and even some cases with indolent,

non-nodal entity MCL, thus showing low speci

ficity.

Some authors tried to implement the diagnostic ability of

monoclonal antibodies-based scores using CD200 (

58

,

66

68

).

Recently, Köhnke et al proposed the so-called

“CLLflow score”

including CD200 in the Matutes score and showing an

improvement in the specificity for the diagnosis of CLL (

66

).

Brie

fly, the score is calculated by adding the percentage of

CD200+ and CD23+/CD5+ B cells and then subtracting the

percentages of CD79b+ as well as FMC7+ B cells. A score >0 is

consistent with the diagnosis of CLL while a score

≤ 0 with the

diagnosis of a non-CLL disease entity (

67

69

). In our hands a

simpli

fied score system for the diagnosis of CLL, in which only 4

markers are used (CD5, CD23, CD200, and SmIg), showed a

higher sensitivity and specificity with respect to the Matutes

score (

58

).

Interestingly, very recently Sorigue et al, using three

immunophenotype-based diagnostic approaches (Matutes

score, D’Arena score and CD43 expression) analyzed 597

patients with a chronic lymphoproliferative disorder (CLPD)

and found that patients with concurring CLL-like or non-CLL

like results according to the three diagnostic strategies were

diagnosed with CLL (n = 441) and non-CLL (n =99),

respectively (

Figure 3

) (

69

,

70

).

‘Discordant’ patients (n = 57)

were further re-evaluated taking into account individual

cytometric markers and cytogenetics data and only 16 patients

(2.7%) were not assigned to a reasonable diagnosis (

Figure 3

).

The latter cases were considered

“borderline lymphoproliferative

disorders

”, a loosely-defined concept that would include any

chronic lymphoid disorder in which the diagnosis of CLL cannot

be either made or ruled out.

In another recent study, Sorigue et al conducted a systematic

review of the use of CD200 in the differential diagnosis of CLPDs

(

71

). They evaluated the positive predictive value of CD200 on

the prevalence of the disorders evaluated for the differential

diagnosis. Twenty-seven publications were included in this

systematic review (accounting for 5,764 patients). The median

positivity rate and percentage of CD200 positive cells in patients

with CLL was 100% and 95%, respectively, whereas it was 4% and

8% in MCL, and 56% and 62% in other CLPDs. The authors

concluded that CD200 is a suboptimal marker in discriminating

TABLE 2 | Continued Reference No. Patients Samples evaluated CLL MCL HCL HCL-v MZL FL LPL Other B-cell neoplasms Soong et al. ( 62 ) 189 PB; BM 121/121 (100%) 1/10 (1%) –– – – – 54/68 of B-chronic lymphoid leukemias, including MCL cases El-Neanaey et al. ( 63 ) 5 0 P B 30/30 (100%) – 5/5 (100%) –– – – 14/25 (56%) B-NHL not subclassi fied CLL, chronic lymphocytic leukemia; MCL, mantle cell lymphoma; HCL, hairy cell leukemia; HCL-v, hairy cell leukemia variant; MZL, marginal zone lymp homa; FL, follicular lymphoma; LP, lymphoplasmacytic lymphoma; PL, prolymphocytic leukemia; SRPBL, splenic dif fuse red pulp small B-cell lymphoma; NHL, non-Hodgkin ’s lymphoma; HL, Hodgkin lymphoma; SLL, small lymphocytic lymphoma; DLBL, dif fuse large B-cell lymphoma; ABC, activated B cell-like; GCB, center B cell-like; MM, multiple myeloma; PBL, plasmablastic lymphoma; PB, peripheral blood; BM, bone marrow; LN, lymph node; CE, cavity exudate; FNA, fine needle aspiration; CSF, cerebrospinal fluid; IHC, immunohistochemistry, MFI, mean fluorescence intensity. *Three cases of MCL moderate or bright CD200 expression (all three cases showed cyclin CD1 overexpression by IHC; two cases had t(11;14)(q12:q32) by F ISH and conventional cytogenetics also; one case showed del(14q31q32) in three of 20 metaphases. Flow cytometry immunophenotyping in all three cases showed an atypical pattern of CD23 expression, positive on most lymphoma cells). **11 cases were atypical-CLL (CD23 absent or dimly expressed in six cases and the following antigens expressed with moderate/strong intensity: FMC-7 in eight cases; CD79b in five cases, and smIg in four cases). ***CD5+ NHL (non-CLL, non-MCL). #CD200 expression was studied by means of immunohistochemistry (HIC). °mostly nodal or MALT types. °°90 FL cases were studied and a spectrum of CD200 expression ranging from negative to moderate was found (not reported the number of positive cases); o nly three LPL cases were studied with moderate expression of CD200. §56 CLL of which 13 CLL-like MBL; 7 patients with CLL were atypical. Both typical and atypical were found all CD200 positive; MFIand percentage of CD200 e xpression were found not dif ferent; no dif ferences were found between typical and atypical CLL also. çNo dif ference between typical and atypical CLL. Multivariate analysis for MCL and atypical CLL discrimination, it was demonstrated that the most det erminant molecule was CD200 (p<0.0001, 95% CI). *MFI >1,000 was used to represent positive staining while MFI ≤ 1,000 to represent negative staining for CD200. ^CD200, added to the canonical 5 markers, improved the diagnostic accuracy of Matutes score from 86.7% to 92.5% (p<.01).

D’Arena et al. CD200 and CLL

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CLL from CLPDs other than MCL. These

findings suggest that

assessment of CD200 within scores rather than as a single

marker, as reported by some authors, would be more useful

(

66

68

).

In addition, some authors investigated whether a different

expression of CD200 between CLL and monoclonal B-cell

lymphocytosis (MBL) exists. Sorigue et al demonstrated that all

cases of both CLL and CLL-like MBL were CD200 positive.

However, MBL cases showed a lower CD200 MFI than CLL.

Moreover, both CLL with trisomy 12 and CLL-like MBL

displayed lower CD200 MFI than CLL with other cytogenetic

abnormalities. In contrast, Rawstron et al did not

find any

difference in expression of a large body of markers, including

CD200, between CLL-type MBL and CLL (

72

). However,

differences in the expression of other markers were observed,

including lower expression of CD38, CD62L, and CD49d and

higher expression of LAIR-1, CXCR5, and CCR6 on CLL-type

MBL compared to CLL. In conclusion, despite CLL-type MBL

being phenotypically identical to CLL for a large body of

antigens, certain differences exist, particularly with respect to

proteins involved in the homing to lymphoid tissue.

CD200 AND PROGNOSIS IN CLL

Little is known about the prognostic significance of CD200

expression in CLL. As a matter of fact, con

flicting results have

been reported so far. Few data have been published and both

percentage of CD200 positivity and

fluorescence intensity have

been used to estimate CD200 expression on CLL

B-lymphocytes. Firstly, Wang et al in 2014 identi

fied two

distinct groups of CLL patients according to the expression of

CD200 on bone marrow B cells (CD200 low group: <50%;

CD200 high group:

≥ 50%) (

73

). As reported in

Table 3

,

correlations were found with some clinical-biological features

of CLL patients with <50% CD200+ cells. In contrast, using the

same methodological approach, El Din Fouad et al found other

correlations in patients with a lower percentage of CD200+ CLL

cells (<50%) (

74

). Moreover, while the former study did not

report data on TTT, response to therapy or OS, the latter found

no correlation with response to treatment or OS. In a large

cohort of patients with CLL, Miao et al, evaluating the CD200

mean

fluorescence intensity (MFI) instead of the percentage of

positivity, found that patients with lower CD200 MFI had a

significantly shorter TTT with respect to patients with higher

CD200 MFI (

75

). However, no correlation was found between

CD200 MFI and OS, and CD200 MFI did not maintain its

predictive value on TTT in multivariate analysis. More recently,

using a more standardized

flow cytometric approach, we

measured the CD200 MFI on CD19+ and CD19- lymphocyte

subpopulations, calculating the relative

fluorescence intensity

(RFI) as a ratio of the CD200 MFI on CD19+ and CD19- cells

(

76

). Lower and higher CD200 RFI values were found to be

associated with del11q and del13q14, respectively. In addition,

FIGURE 3 | Overview of the study by Sorigue et al. (70). The algorithm of the study using the three diagnostic scores to assign a diagnostic category is explained in the text (58,66,69).

D’Arena et al. CD200 and CLL

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CD200 RFI greater than the mean cohort value was detected in

patients with longer OS. However, these data have to be

confirmed in patients with a longer follow-up.

In summary, con

flicting results have been reported on the

prognostic role of CD200 expression in CLL so far.

Methodological and sampling differences, such as the analysis

of percentage of positive cells versus MFI, bone marrow versus

peripheral blood cells, and different

flow cytometry instrument

settings and/or gating strategy, could account for these

differences. Further studies are needed to better understand

this issue before reaching definitive conclusions.

CONCLUSIONS AND FUTURE

DIRECTIONS

CD200 expression is useful in better classifying B-cell CLPDs.

The addition of CD200 to

flow cytometry marker panels

addressing the diagnosis of this heterogenous group of B cell

neoplasms may be particularly helpful in distinguishing some

disease entities, in particular CLL and MCL, whose clinical

behavior and prognosis are quite different. On the contrary,

expression of CD200 does not appear to have a relevant role as a

prognostic indicator in CLL according to data published so far,

despite limited in number. However, this issue needs to be better

addressed by studies on a larger cohort of patients and using

standardized methodologies. Finally, the potential role of CD200

as a therapeutic target must be taken into account in particular

for diseases that highly express CD200, such as CLL and

HCL (

24

,

77

). In fact, CD200 is known to act as an

immunosuppressive molecule that is upregulated on primary

CLL B-cells (

18

). Moreover, an elegant work by Kretz-Rommel

and co-workers demonstrated that CD200 expression by tumor

cells suppresses antitumor responses in an animal model (

22

). In

a similar fashion, Gorczynski et al showed that by manipulating

CD200:CD200R interactions it is possible to cure local tumors

and distant metastases in a murine breast cancer model (

78

,

79

).

Very recently, the

first-in-human study investigating the

therapeutic use of the recombinant humanized monoclonal

anti-CD200 antibody samalizumab in 23 patients with

advanced CLL and 3 patients with MM was published (phase 1

study NCT00648738) (

80

). Treatment was associated with mild

to moderate adverse events and resulted in a dose-dependent

decrease in CD200 expression on CLL cells. Decreased tumor

burden was also observed in 14 CLL patients, with one of them

achieving a durable partial response, while 16 patients maintained

a stable disease. These results, although preliminary, suggest that

samalizumab could represent an immune checkpoint inhibitor

with activity in CLL.

Finally, there is some evidence that serum levels of soluble

CD200 may be related to disease progression and prognosis in

patients with CLL (

79

,

81

,

82

). In particular, Wong et al showed

that CD200 can be released from CD200+ neoplastic cells by

ectodomain shedding (

81

). This event is regulated by ADAM28

(

79

,

82

). Interestingly, both the membrane and the soluble form

of CD200 is able to engage CD200R, which in turn can result in

increased tumor growth (

20

,

83

). This happens by means of

reduction of immune reactivity and/or increment of induction/

activation of regulatory T cells in the tumor microenvironment

(

83

,

84

). Taken together, more and more convincing data have

been reported in the literature from which the relevant role of

CD200 is emerging not only as a diagnostic and prognostic tool

but also as a potential therapeutic target in various neoplasms

including CLL.

AUTHOR CONTRIBUTIONS

GD

’A, GP, VD, FA, SD, DE, AS, and LL designed the project,

revised the scienti

fic literature, and wrote the paper. GD’A, GP,

ES, GM, and OV followed patients with chronic lymphocytic

leukemia. FL, FD’A, TS, and LV performed flow cytometric

studies. All authors contributed to the article and approved the

submitted version.

TABLE 3 | CD200 expression and prognosis in CLL.

Reference No.

Patients evaluated

CD200 positivity cut-off Correlations

Wang et al. (73) 40 50% of B-cells

(<50%: CD200 low group; ≥50% CD200 high group)

<50% of CD200-positive B-cells positively correlated with younger age, female gender, lower WBC, lower lymphocyte absolute and percentage number, lower lymph node involvement, lower ZAP-70 positive cells, early disease stage. No data on TTT, response to therapy and OS.

El Din Fouad et al. (74)

43 50% of B-cells >50% of CD200-positive B-cells positively correlated with older age, lymphocytosis, hepatomegaly, splenomegaly, higher Rai and Binet stage. No correlation with response to treatment and OS. Miao et al. (75) 307 CD200 MFI

cut-off: 189.5 (<lower group; ≥higher group)

Lower CD200 MFI positively correlated with shorter TTT.

D’Arena et al. (76) 105 CD200 RFI cut-off: 13

Lower CD200 RFI positively correlated with del11q and negatively correlated with del13q14. CD200 RFI greater than the mean value of the entire cohort positively correlated with longer OS.

WBC, white blood cell count; TTT, time to treatment; OS, overall survival; MFI, meanfluorescence intensity; RFI, relative fluorescence intensity (ratio of MFI of CD200 on CD19+ lymphocytes/MFI of CD200 on CD19- lymphocytes).

D’Arena et al. CD200 and CLL

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Conflict of Interest: The authors declare that the research was conducted in the

absence of any commercial orfinancial relationships that could be construed as a

potential conflict of interest.

Copyright © 2020 D’Arena, De Feo, Pietrantuono, Seneca, Mansueto, Villani, La Rocca,

D’Auria, Statuto, Valvano, Arruga, Deaglio, Efremov, Sgambato and Laurenti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

D’Arena et al. CD200 and CLL

Figura

FIGURE 1 | Schematic representation of CD200. The CD200 glycoprotein has two extracellular like Immunoglobulin domains formed by disulfide bonds, one variable (V) and one constant (C), a single transmembrane region, and a cytoplasmic tail.
FIGURE 2 | CD200 expression in CLL and MCL. Dot plots showing a case of CLL in which both surface CD200 and CD23 were expressed (left panel) and a case of MCL in which both antigens were found negative (right panel)
TABLE 2 | CD200 expression and differential diagnosis in chronic B-cell leukemias: published data at a glance.
TABLE 2 | Continued
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